Thanks for the kind words, Krishna! Please keep the feedback coming.
On Saturday, June 18, 2016, Krishna Sankar <[email protected]> wrote:
> Hi all,
> Just wanted to thank all for the dataset API - most of the times we see
> only bugs in these lists ;o).
>
> - Putting some context, this weekend I was updating the SQL chapters
> of my book - it had all the ugliness of SchemaRDD,
> registerTempTable, take(10).foreach(println)
> and take(30).foreach(e=>println("%15s | %9.2f |".format(e(0),e(1)))) ;o)
> - I remember Hossein Falaki chiding me about the ugly println
> statements !
> - Took me a little while to grok the dataset, sparksession,
>
> spark.read.option("header","true").option("inferSchema","true").csv(...) et
> al.
> - I am a big R fan and know the language pretty decent - so the
> constructs are familiar
> - Once I got it ( I am sure still there are more mysteries to
> uncover ...) it was just beautiful - well done folks !!!
> - One sees the contrast a lot better while teaching or writing books,
> because one has to think thru the old, the new and the transitional arc
> - I even remember the good old days when we were discussing whether
> Spark would get the dataframes like R at one of Paco's sessions !
> - And now, it looks very decent for data wrangling.
>
> Cheers & keep up the good work
> <k/>
> P.S: My next chapter is the MLlib - need to convert to ml. Should be
> interesting ... I am a glutton for punishment - of the Spark kind, of
> course !
>
